15/06, 2021

Points already planned to be sampled

Objective

  • Find the points furthest away environmentally from the current points
  • Find the most stable, more increase and more decrease of species Richness
  • Candidate points extracted from Novana dataset
  • 46,648 Candidate points

Environmental distance

Methods

  • Furthest points in environmental space
    • Mean anual temperature
    • Temperature seasonality
    • Annual precipitation
    • Precipitation seasonality
    • Topographic wetness index
    • Vegetation density
    • pH Surface
    • pH deep
    • Bin of canopy height (<1,1-3, 3-10, >10)
    • Soil texture (Clay, Sand, Silt)
    • Heat load index
    • Slope

Map of selected points

NMDS of selected points

First 50 points

Environmental space

Selection by species richness change

Method

  • From Novana dataset select the point with at least 4 years of sampling
  • Make a linear regression between Richness (Only positive species), and year
  • If slope is non significative the sampling point is considered to be stable
    • Select the 34 lowest absolute value slope
  • If slope is significative and positive the sampling point is considered to be of increasing richness
    • Select the 34 highest slope value
  • If slope is significative and negative the sampling point is considered to be of decreasing richness
    • Select the 34 lowest slope value

Selected points

Selected points (map)

Final map